Experimental News Clipping Site

Tag: large language model

  • Hacker News: Writing an LLM from scratch, part 8 – trainable self-attention

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    Kurt Seifried
    in

    Source URL: https://www.gilesthomas.com/2025/03/llm-from-scratch-8-trainable-self-attention Source: Hacker News Title: Writing an LLM from scratch, part 8 – trainable self-attention Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text provides an in-depth exploration of implementing self-attention mechanisms in large language models (LLMs), focusing on the mathematical operations and concepts involved. This detailed explanation serves as a…

  • Hacker News: Show HN: Open-source Deep Research across workplace applications

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    Kurt Seifried
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    Source URL: https://github.com/onyx-dot-app/onyx Source: Hacker News Title: Show HN: Open-source Deep Research across workplace applications Feedly Summary: Comments AI Summary and Description: Yes Summary: The text introduces Onyx, an open-source generative AI platform designed for enterprise search, emphasizing its integration capabilities with a wide range of applications. It highlights the security features and versatile deployment…

  • Simon Willison’s Weblog: A Practical Guide to Implementing DeepSearch / DeepResearch

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Mar/4/deepsearch-deepresearch/#atom-everything Source: Simon Willison’s Weblog Title: A Practical Guide to Implementing DeepSearch / DeepResearch Feedly Summary: A Practical Guide to Implementing DeepSearch / DeepResearch I really like the definitions Han Xiao from Jina AI proposes for the terms DeepSearch and DeepResearch in this piece: DeepSearch runs through an iterative loop of searching, reading,…

  • Simon Willison’s Weblog: llm-mistral 0.11

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Mar/4/llm-mistral-011/#atom-everything Source: Simon Willison’s Weblog Title: llm-mistral 0.11 Feedly Summary: llm-mistral 0.11 I added schema support to this plugin which adds support for the Mistral API to LLM. Release notes: Support for LLM schemas. #19 -o prefix ‘{‘ option for forcing a response prefix. #18 Schemas now work with OpenAI, Anthropic, Gemini and…

  • Hacker News: Looking Back at Speculative Decoding

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    Kurt Seifried
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    Source URL: https://research.google/blog/looking-back-at-speculative-decoding/ Source: Hacker News Title: Looking Back at Speculative Decoding Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the advancements in large language models (LLMs) centered around a technique called speculative decoding, which significantly improves inference times without compromising output quality. This development is particularly relevant for professionals in…

  • Hacker News: AgenticMemory: Zettelkasten inspired agentic memory system

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    Kurt Seifried
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    Source URL: https://github.com/WujiangXu/AgenticMemory Source: Hacker News Title: AgenticMemory: Zettelkasten inspired agentic memory system Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses a novel Agentic Memory system designed specifically for Large Language Model (LLM) agents, enabling dynamic management and organization of memories. This system stands out by offering enhanced capabilities compared to…

  • Hacker News: Show HN: Agents.json – OpenAPI Specification for LLMs

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    Kurt Seifried
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    Source URL: https://github.com/wild-card-ai/agents-json Source: Hacker News Title: Show HN: Agents.json – OpenAPI Specification for LLMs Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses the introduction of the agents.json specification, which facilitates the integration of Large Language Models (LLMs) with APIs by making API interactions more manageable and structured. This specification extends…

  • Hacker News: MIT 6.S184: Introduction to Flow Matching and Diffusion Models

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    Kurt Seifried
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    Source URL: https://diffusion.csail.mit.edu Source: Hacker News Title: MIT 6.S184: Introduction to Flow Matching and Diffusion Models Feedly Summary: Comments AI Summary and Description: Yes Summary: The provided text presents an educational overview of the MIT course “Generative AI with Stochastic Differential Equations,” focusing on diffusion and flow-based models used in generative AI. The course teaches…